A practical report, not a generic AI audit

The report turns public-signal evidence into decisions a leadership team or agency can act on.

AI visibility score

A focused score across five domains, built to show what makes the business findable, understandable, and recommendable.

Public-signal exposure

Where the offer, proof, positioning, and public facts are clear enough for AI systems to interpret.

Competitor pressure

A comparison based on public web signals from two to three named competitors.

90-day response plan

30-day fixes, 90-day priorities, website and conversion fixes, implementation options, and funding paths to verify.

The five domains of the AI visibility score

The score covers five weighted domains. For each one, the report documents what is measured, what evidence is collected, and what separates a weak signal from a strong one.

1. Structured data

The presence and quality of schema.org markup on key pages: organization, services, frequently asked questions. The evidence collected is the actual page code. Weak signal: no structured data, a business identity engines have to guess at. Strong signal: a complete entity, consistent from page to page, that AI systems can cite without ambiguity.

2. Google profile

The business profile: completeness, reviews, and whether contact details match the website. Weak signal: an unclaimed or incomplete profile, reviews left without replies. Strong signal: an up-to-date profile, recent reviews with replies, and the same contact details everywhere the business appears.

3. Citation readiness

Whether pages contain facts an AI assistant can reuse as is: prices, timelines, service areas, results. The evidence collected is the page text as a crawler reads it. Weak signal: promotional copy with no verifiable fact. Strong signal: short, dated, verifiable answers an assistant can quote without distorting them.

4. AI + local discovery

How AI assistants answer neutral discovery queries in the target market, such as a buyer asking for a recommendation without naming anyone. The evidence collected: documented answers from several assistants. Weak signal: the business absent while competitors get cited. Strong signal: the business cited with an accurate description of its offer.

5. AI crawler access

What AI engine crawlers can actually read: robots.txt directives, content visible without JavaScript, page structure. Weak signal: key content invisible outside a browser or blocked to crawlers. Strong signal: pages whose substance reads as plain HTML, with no technical obstacle between the offer and the systems that summarize it.

A method built on evidence, not impressions

  • The analysis relies on public signals only. No access to internal systems, ad accounts, or client data is required.
  • Every finding goes through a rubric-based scoring grid. Severity is weighted by impact: critical, high, or moderate.
  • Competitors are named, and every comparison rests on observed evidence: public pages, reviews, structured data, assistant answers.
  • The process is designed with Loi 25 in mind: no persistent PDF storage and data deletion on request.

What you receive

A structured report

A PDF of about ten pages, in English or French: executive summary, detailed score per domain, competitor pressure with named competitors, and a 90-day response plan.

An embedded execution prompt

A section ready to hand to your team, your agency, or an AI assistant to start the fixes without reinterpreting the report.

Same-day delivery

The report is delivered the same day once the engagement is confirmed and the intake information is received. Beta participants keep their full report.

A finding, as it appears in the report

An anonymized example, reworded from a sample report. The names are fictional; the structure and level of detail match a delivered report.

Severity: high • Status: observed

Finding. None of the three AI assistants tested cite the agency across 21 neutral discovery queries in its region, while three direct competitors surface with structured offers and accumulated public reviews.

Evidence. Assistant answers documented at the time of analysis, competitor service pages, and observed review volumes.

Recommended action. Publish verifiable proof, structure the service pages, and consolidate public profiles before AI assistants settle on stable references.

Built for business decisions and agency strategy

For SMEs and organizations

Understand exposure, competitors, public proof gaps, and the first priorities to strengthen before investing in AI or web changes.

For agencies

Turn AI visibility and competitor pressure into a client-facing strategy conversation, proposal, or quarterly planning input.

For governance-minded teams

Use the diagnostic as an earlier-stage read before deeper ISO 42001, Loi 25, or internal governance work.

What happens after you request access

1. Request an invite

Submit the business or client context you want to evaluate.

2. Nord reviews fit

Nord Paradigm checks whether the public signal availability and business context fit the next validation round.

3. Selected participants receive next steps

Requesting access creates no commitment. Selected participants receive the next steps for the BREACH Pro report.

BREACH Pro frequently asked questions

How much does BREACH Pro cost?

The beta rate is $499 CAD. BREACH Pro is available in private beta for a limited number of engagements, and participants keep their full report.

How fast is delivery?

The report is delivered the same day once the engagement is confirmed and the intake information is received.

What do you need to provide?

The business name, its website, and a short intake questionnaire about the business context and current pain points. No access to internal systems is required.

How is it different from the free BREACH?

The free BREACH is an automated overview delivered in two minutes. BREACH Pro is an in-depth analysis: a score across five domains, named competitors with evidence, a 90-day response plan, and an embedded execution prompt.

Can agencies use BREACH Pro with their clients?

Yes. The report works as a quarterly planning input, a proposal foundation, or a client deliverable. The agency use case covers how it works in detail.

How is privacy handled?

The analysis relies on public signals only. The process is designed with Loi 25 in mind, without persistent PDF storage, and data deletion is available on request.

Privacy-first by design

BREACH Pro uses public-signal analysis, is designed with Loi 25 in mind, does not rely on persistent PDF storage, and supports deletion on request.